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Tier-1 brand, generalist fullstack remit and Bangalore metro increase applicant competition.
Strong preference for Banking/FinCrime/Cyber experience reduces cross-industry transferability.
Explicit 10–15 years, Databricks must-have, and FinCrime/Cyber domain requirements make filters stringent.
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Design and implement secure, scalable full stack applications to support financial crime prevention and cyber investigations.
Build and maintain data engineering pipelines using technologies like Databricks and Apache Airflow, integrating AI/GenAI solutions to improve investigation workflows.
Collaborate with cross-functional teams including analysts and risk experts, ensuring applications meet cybersecurity, data privacy, and regulatory standards.
10-15 years of professional experience in software engineering/application development, preferably in Banking, Financial Services, Financial Crime, Risk, Compliance, or Cyber Security.
Bachelor's or Master's degree in Computer Science, IT, Engineering, or related discipline from a recognized institution.
Proven experience with Node.js, Next.js, TypeScript, JavaScript, PostgreSQL, Databricks, Apache Airflow, Docker/Podman, Kubernetes, and DevSecOps practices.
Work Location: Bangalore, India; Employment Type: Permanent; Work Type: Office-based.
Deep experience in building scalable, secure applications for financial crime prevention or cybersecurity domains, with demonstrated impact on reducing investigation time and operational resilience.
Strong technical ownership in integrating cutting-edge AI/GenAI frameworks (e.g., Google ADK, LangChain) within enterprise workflows.
Experienced in collaborative, cross-disciplinary teams working in agile environments with strong governance, compliance, and stakeholder management.